Skip to content
ModelCap

ArmorOCR

Current board #206Official publisher releaseOpen weights7d #213 → #206

InclusionAI·inclusionAI/ArmorOCR

ArmorOCR is ModelCap current-board rank #206 with Index 3.7 (Modeled · lineage), from the ModelCap Index as of 3 Sept 2026, 01:46 UTC.

ArmorOCR weight access is open weights, from ModelCap classification of published repository metadata as of 3 Sept 2026, 01:46 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
3.7#206
Inherited · 8% support · score interval 3.7–25.5
No admitted evaluation publication timestamp yet
Market Gravity
5.6
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Free
per 1M tokens
Output
Free
per 1M tokens
Context
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
3.7
Modeled · lineage · finetune · finetune
Current board
#206
Public rank basis
Modeled · lineage (lineage)
Index support
8.0% · weak
Index interval
3.7–25.5
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · inclusionai/inclusionAI/ArmorOCR · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata inclusionAI/ArmorOCR@569a1c381c78d06f9da6555575a4db690b5a0b90 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
12.1
Verified lineage
qwen/qwen3-vl-8b-instruct · minus 1.2 ( finetune)
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
Liquidity (providers × uptime)
Open reach (HF downloads)
5.4
Surface (context / tools / modalities)
15.0
Freshness
94.9
  • · HF 30d downloads 323
  • · Catalogue: modalities Text/Image
  • · First seen 2026-08-20

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
Estimator abstained

uncertainty-above-gate

Feature coverage
71%
Training support
217 models · 132 lineages

uncertainty-above-gate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
52.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Missing: deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
5.6
OpenRouter weekly popularity
Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
5.4

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
94.9

Time since first public availability, on a six-month half-life.

Specification

Context window
tokens
Max output
Inputs
Text, Image
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
20 Aug 2026

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
569a1c381c78
Parameters
8.8B
Architecture
Qwen3VLForConditionalGeneration
Model type
qwen3_vl
Hugging Face downloads (30d)
323
Downloads (all time)
323
Likes
11
Repository updated
24 Aug 2026, 07:41 UTC

Compare ArmorOCR with

Pick any model

Alternatives to ArmorOCR, by the numbers

Ranked neighbours

Models within 3 places of #206 on the ModelCap Index.

Other ranked InclusionAI models

The same publisher's other current models with a public Index position.

ArmorOCR: common questions

How does ArmorOCR rank among AI models?

ArmorOCR holds ModelCap Index position #206 of 225 ranked language models as of 3 September 2026, with an Index score of 3.7 (interval 3.7–25.5); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does ArmorOCR cost per 1M tokens?

No live API price is listed for ArmorOCR in the current snapshot as of 3 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is ArmorOCR open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is inclusionAI/ArmorOCR on Hugging Face.

Which benchmarks has ArmorOCR been evaluated on?

ArmorOCR's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 3 September 2026. The evidence panel names each source and its publication date.

How does ArmorOCR compare with Llama 3.1 8B Instruct?

ArmorOCR ranks #206 (Index 3.7) and Llama 3.1 8B Instruct ranks #207 (Index 3.1) on the ModelCap Index as of 3 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was ArmorOCR released?

ArmorOCR first appeared in the catalogue on 20 Aug 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.